Midjourney Prompts: The Complete Guide (2026)

Midjourney prompts are having a version problem in 2026, not a creativity problem. Most guides floating around are still teaching keyword-stack habits, or they're calibrated for a model that stopped being the default in June. This page is the fix: what actually changed, what still holds, and a direct path into every tested Midjourney prompt in the Promptsmith library — organized so you can skip the theory and go straight to a specimen for your job.

Why so many 2026 guides already disagree with each other

Most Midjourney guides published before June 2026 describe V6 or V7 as current, because that was the default when they were written. A few describe V8.1 accurately but miss what didn't come with it. Neither is malicious — the model moved faster than most editorial calendars.

That's the reason this page exists: one place that states plainly what's true as of this writing, names where each claim comes from, and gets corrected when the facts change instead of left to rot. Here's the short version, so you can act on it before reading further:

Midjourney V8.1 became the default model on June 11, 2026, and the core prompting principle carries over unchanged — write a described scene, not a keyword stack. Omni Reference (--oref, --ow) is still V7-exclusive while Midjourney trains the V8 equivalent. Default to V8.1; drop to V7 only when a job needs subject consistency across shots.

What actually changed with V8.1

V8.1 became Midjourney's default model on June 11, 2026, replacing V7 for anyone who hasn't manually pinned a version. Per Midjourney's official update log, images now appear in about 4 seconds in Standard mode and 12 seconds in HD, and HD mode renders at twice the size and four times the resolution of V7 images — with noticeably better instruction-following on prompts that stack several clauses — the kind of prompt this guide teaches you to write.

For most jobs, that's a clean upgrade: change nothing, get faster and sharper results. The exception is subject consistency. Omni Reference — the --oref and --ow parameters that lock a character, product, or mascot's identity across generations — is still V7-only while Midjourney finishes training the equivalent feature for V8. If a job depends on the same face or product appearing across a shot list, stay on V7 until that ships. Style references, personalization, and general aesthetics otherwise hold steady between the two versions — per the same update notes, they "remain consistent between V7 and V8.1" — so switching doesn't mean relearning your visual language.

The structure that works in either version

Both versions reward the same habit: describe a scene as a sentence, front-loaded with the subject, instead of stacking comma-separated keywords. That principle didn't change with V8.1 — Midjourney's own prompting documentation treats it as a fundamental, not a version-specific tip.

portrait, dramatic lighting, 8k, hyperdetailed, trending on artstation hands the model a pile of tags to average into something generic. A weathered brass compass resting open on a nautical chart, warm lamp light from the left, macro photograph, shallow depth of field hands it a scene to build, in order: subject, action or state, setting and light, then capture method — parameters go last, after the sentence has done its job. The full five-part formula, with the reasoning behind why front-loading the subject matters, is broken down in how to write Midjourney prompts that actually work .

Which version should you use this week

Ask three questions, in order, before you generate:

1. Does the job need the exact same subject across more than one image? If yes, use V7 with Omni Reference — nothing else currently does this natively.
2. Is speed or native high resolution the priority — quick concepting, bulk variations, or final HD output? If yes, default to V8.1.
3. Still unsure? Default to V8.1. It's the faster, sharper baseline, and you can always regenerate a specific shot on V7 if a later step in the job needs consistency.

V7 vs V8.1 — the real difference list

Default to V8.1 for speed and resolution; drop to V7 only when the job specifically needs a V7-exclusive feature. The table below is the actual difference list, not a marketing comparison.

The parameters actually worth learning

Four parameters do most of the work, and the list hasn't grown much since V7. --style raw switches off Midjourney's automatic beautification pass, which matters any time you want the model to obey your words instead of prettifying them — essential for product and photorealistic work. --s (stylize, 0–1000) controls how much artistic license the model takes: low values (20–50) stay literal, values above 150 push toward illustration and concept art. --ar sets the frame — match it to where the image will actually live, not a default habit. And --oref with --ow (Omni Weight) is the consistency pair — currently the one combination that still requires V7, as covered above.

That constraint is why the character-consistency specimen in this library is still built on V7:

Step 1 — Generate your anchor image:
[Describe your character or product in detail: age, features, outfit, setting]
--ar 1:1 --style raw --s 50 --v 7

Step 2 — Lock it with Omni Reference:
Once you have an image you love, copy its URL. Then use:
[Your scene description], consistent lighting, same subject --oref [IMAGE_URL] --ow 80 --ar [YOUR RATIO] --style raw --v 7

Step 3 — Vary the scene, not the subject:
Swap only the background, lighting, or action while keeping --oref and --ow 80 constant.

This workflow maintains facial/product consistency across dozens of generations without ControlNet or external tools.

Everything below assumes you already know which version you're on. What follows is the direct path into every tested Midjourney prompt this site has published — organized so you don't have to hunt for it.